Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment

Tekijä Abolfazli, Amir, Brechmann, André, Wolff, Susann, Spiliopoulou, Myra
Julkaisussa Sci Rep (2020)

Machine learning: ECML 2006 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006: proceedings /

Tekijä European Conference on Machine Learning, Fürnkranz, Johannes., Scheffer, Tobias., Spiliopoulou, Myra.
Julkaistu 2006

Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics

Tekijä Niemann, Uli, Brueggemann, Petra, Boecking, Benjamin, Mazurek, Birgit, Spiliopoulou, Myra
Julkaisussa Sci Rep (2020)

Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects

Tekijä Niemann, Uli, Boecking, Benjamin, Brueggemann, Petra, Mazurek, Birgit, Spiliopoulou, Myra
Julkaisussa Front Neurosci (2020)

From data and information analysis to knowledge engineering Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-...

Tekijä Spiliopoulou, Myra, Kruse, Rudolf, Borgelt, Christian, Nürnberger, Andreas, Gaul, Wolfgang A.
Julkaistu 2006.

Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables

Tekijä Niemann, Uli, Boecking, Benjamin, Brueggemann, Petra, Mebus, Wilhelm, Mazurek, Birgit, Spiliopoulou, Myra
Julkaisussa PLoS One (2020)

Editorial: Smart Mobile Data Collection in the Context of Neuroscience

Tekijä Pryss, Rüdiger, Langguth, Berthold, Probst, Thomas, Schlee, Winfried, Spiliopoulou, Myra, Reichert, Manfred
Julkaisussa Front Neurosci (2021)

Assessing the difficulty of annotating medical data in crowdworking with help of experiments

Tekijä Rother, Anne, Niemann, Uli, Hielscher, Tommy, Völzke, Henry, Ittermann, Till, Spiliopoulou, Myra
Julkaisussa PLoS One (2021)

Knowledge discovery in databases: PKDD 2006 10th European conference on principles and practice of knowledge discovery in databases, Berlin, Germany, September 18-22, 2006, proceed...

Tekijä European conference on principles and practice of knowledge discovery in databases, Fürnkranz, Johannes., Scheffer, Tobias., Spiliopoulou, Myra.
Julkaistu 2006

Natural language and information systems 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, London, UK, June 24-27, 2008 : proceed...

Tekijä International Conference on Applications of Natural Language to Information Systems, Kapetanios, Epaminondas., Sugumaran, Vijayan, Spiliopoulou, Myra.
Julkaistu c200

Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)

Tekijä Siddiqui, Zaigham Faraz, Krempl, Georg, Spiliopoulou, Myra, Peña, Jose M., Paul, Nuria, Maestu, Fernando
Julkaisussa Brain Inform (2015)

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data †

Tekijä Hoppenstedt, Burkhard, Reichert, Manfred, Kammerer, Klaus, Probst, Thomas, Schlee, Winfried, Spiliopoulou, Myra, Pryss, Rüdiger
Julkaisussa Sensors (Basel) (2019)

Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison

Tekijä Niemann, Uli, Brueggemann, Petra, Boecking, Benjamin, Mebus, Wilhelm, Rose, Matthias, Spiliopoulou, Myra, Mazurek, Birgit
Julkaisussa Sci Rep (2020)

Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments

Tekijä Kalle, Sven, Schlee, Winfried, Pryss, Rüdiger C., Probst, Thomas, Reichert, Manfred, Langguth, Berthold, Spiliopoulou, Myra
Julkaisussa Front Neurosci (2018)

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitud...

Tekijä Pryss, Rüdiger, Schlee, Winfried, Hoppenstedt, Burkhard, Reichert, Manfred, Spiliopoulou, Myra, Langguth, Berthold, Breitmayer, Marius, Probst, Thomas
Julkaisussa J Med Internet Res (2020)

Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring

Tekijä Schleicher, Miro, Unnikrishnan, Vishnu, Neff, Patrick, Simoes, Jorge, Probst, Thomas, Pryss, Rüdiger, Schlee, Winfried, Spiliopoulou, Myra
Julkaisussa Sci Rep (2020)

Knowledge discovery enhanced with semantic and social information

Tekijä Berendt, Bettina., Mladenic, Dunja., Gemmis, Marco de, Semeraro, Giovanni., Spiliopoulou, Myra., Stumme, Gerd., Svatek, Vojtech., Zelezný, Filip.
Julkaistu 2009

The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications

Tekijä Unnikrishnan, Vishnu, Schleicher, Miro, Shah, Yash, Jamaludeen, Noor, Pryss, Ruediger, Schobel, Johannes, Kraft, Robin, Schlee, Winfried, Spiliopoulou, Myra
Julkaisussa Brain Sci (2020)

Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the “TrackYourTinnitus” Application

Tekijä Probst, Thomas, Pryss, Rüdiger C., Langguth, Berthold, Rauschecker, Josef P., Schobel, Johannes, Reichert, Manfred, Spiliopoulou, Myra, Schlee, Winfried, Zimmermann, Johannes
Julkaisussa Front Aging Neurosci (2017)

Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform †

Tekijä Kraft, Robin, Birk, Ferdinand, Reichert, Manfred, Deshpande, Aniruddha, Schlee, Winfried, Langguth, Berthold, Baumeister, Harald, Probst, Thomas, Spiliopoulou, Myra, Pryss, Rüdiger
Julkaisussa Sensors (Basel) (2020)